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2. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]

3. Captions (app) - Wikipedia

   en.wikipedia.org/wiki/Captions_(app)

   Captions is a video-editing and AI research company headquartered in New York City. Their flagship app, Captions , is available on iOS , Android , and Web and offers a suite of tools aimed at streamlining the creation and editing of videos.

4. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

5. ‘Latinos Break The Mold’ by Huffington Post

   testkitchen.huffingtonpost.com/latinos-break-the...

   Built with Readymag—a tool to design anything on the web.

6. Perplexity AI - Wikipedia

   en.wikipedia.org/wiki/Perplexity_AI

   Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [ 3 ] [ 4 ] Its developer, Perplexity AI, Inc., is based in San Francisco, California .

7. Meta AI - Wikipedia

   en.wikipedia.org/wiki/Meta_AI

   Meta AI is a company owned by Meta (formerly Facebook) that develops artificial intelligence and augmented and artificial reality technologies. Meta AI deems itself an academic research laboratory, focused on generating knowledge for the AI community, and should not be confused with Meta's Applied Machine Learning (AML) team, which focuses on the practical applications of its products.